mrluanma

upstream api_example_net {
  server api.example.net:4000;
  keepalive 600;
}

proxy_cache_path /var/cache/nginx/tag levels=1:2 keys_zone=tag:10m inactive=1d max_size=10g;

server {
  listen 80;
  server_name api.example.net;

cgrand

; there are some obvious micro optimizations, I left them out for clarity (see the other file for an optimized version)
; the relative ordering of read and writes with volatile and plain array should be thread-safe (if not, point it out)

; @wagjo asked "Have you found use for such concept? Must be pretty slow compared to unchunked one"
; The idea came out of a discussion on transducers so not used for real, yet.
; Once you optimize it (remove the boxing induced by the volatile, switch to unchecked math) there should not be much
; of an overhead.
; When you have one big composed reducing fn (eg several mapping stages) then each item is going to be processed in 
; each stage, each stage of the mapping may evict from the data cache stuff used by previous stages. So you have cache
; misses for each item.

cgrand

(ns foami.core
  "FOreign Asynchronous Mechanism Interop"
  (:require [clojure.core.async :as async]))

(def ^:private abandon (doto (async/chan) async/close!))

(def ^:private pending-writes (async/chan))

(defn put!
  "Tries to put a val into chan, returns either: true if put succeeded, false if chan is

ztellman

(ns foami.core
  "FOreign Asynchronous Mechanism Interop"
  (:require [clojure.core.async :as async]))

(defn put! 
  "Takes a `ch`, a `msg`, a single arg function that when passed `true` enables backpressure
   and when passed `false` disables it, and a no-arg function which, when invoked, closes the
   upstream source."
  [ch msg backpressure! close!]
  (let [status (atom :sending]

danackerson

# using such a setup requires `apt-get install lua-nginx-redis` under Ubuntu Trusty
# more info @ http://wiki.nginx.org/HttpLuaModule#access_by_lua

http {
  lua_package_path "/etc/nginx/include.d/?.lua;;";
  lua_socket_pool_size 100;
  lua_socket_connect_timeout 10ms;
  lua_socket_read_timeout 10ms;
  
  server {

favila

(defn as-transducer [f]
  "Convert function f into a transducer function.

  This is merely a more convenient way to write an efficient reducing-step
  function without the transducer signature.

  The function should have the signature `(f transformer opaque-collection value)`
  and return either `opaque-collection` or the return value of
  `(transformer opaque-collection value)` to return new `opaque-collection`
  things with `value` \"added\" to it. It can also box its return value with

ostinelli

Erlang Release init.d script

If you have packaged your application into a release generated with Rebar, you might want to have the following:

• The release started on system boot.
• The VM monitored and restarted it if it crashes.

Use HEART

HEART is the Heartbeat Monitoring of an Erlang Runtime System. The purpose of the heart port program is to check that the Erlang runtime system it is supervising is still running, so that if the VM crashes or becomes unresponsive, it is restarted.

mariocesar

function password_encode(password)
    local bcrypt = require 'bcrypt'
    return bcrypt.digest(password, 12)
end

function check_password(password, encoded_password)
    local bcrypt = require 'bcrypt'  
    return bcrypt.verify(password, encoded_password)
end

ztellman

(ns virgil
  (:require
    [clojure.java.io :as io]
    [clojure.string :as str]
    [filevents.core :as fe])
  (:import
    [javax.tools
     DiagnosticCollector
     ForwardingJavaFileManager
     JavaCompiler

mpenet

# Build and slim Erlang 

# Change the line below if you want to use a different version of Erlang 
# (Keep in mind that patches may not apply cleanly) 
erlang_version=otp_src_R14B03 

erlang_source_file:=$(PACKAGE_SOURCES)/$(erlang_version)/$(erlang_version).tar.gz 
erlang_root=$(GTH_ERLANG_ROOT)/$(erlang_version) 

target_prefix=/opt/erlang